Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services
Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services
智能体嵌套：现有企业应用集成与服务的新方法
Abstract: Enterprise operations extensively rely on multiple heterogeneous business systems and information applications, which also result in severe data silos and process fragmentation. Enterprises have invested considerable financial and material resources in building these applications, however, effectively leveraging and orchestrating them remains a formidable challenge.
摘要： 企业运营广泛依赖于多种异构业务系统和信息应用，这也导致了严重的数据孤岛和流程碎片化。企业在构建这些应用上投入了大量的人力物力，然而，如何有效地利用和编排这些应用仍然是一个巨大的挑战。
Conventional approaches to enterprise application integration, encompassing middleware architectures such as Enterprise Service Bus (ESB), API gateway infrastructures, and Robotic Process Automation (RPA), suffer from inherent limitations like high architectural coupling, escalating operation and maintenance costs, and limited intelligence capabilities.
传统的企业应用集成方法，包括企业服务总线（ESB）、API 网关基础设施和机器人流程自动化（RPA）等中间件架构，存在架构耦合度高、运维成本不断攀升以及智能化能力有限等固有局限性。
This paper proposes Agentic Nesting, a multi-agent collaboration framework in which existing enterprise applications are encapsulated as autonomous AI agents within a hierarchically nested structure. Rather than flat interconnection, agents are organized into layered stewardship topologies that mirror the compositional complexity of enterprise ecosystems.
本文提出了“智能体嵌套”（Agentic Nesting），这是一种多智能体协作框架，将现有的企业应用封装为分层嵌套结构中的自主 AI 智能体。不同于平铺式的互联，智能体被组织成层级化的管理拓扑结构，以映射企业生态系统的组合复杂性。
The framework extracts a digital agent proxy from each legacy application to enable natural-language interaction and autonomous manipulation, coordinates multiple agents through a central orchestrator for task decomposition and dynamic dispatching, and exposes a unified conversational interface for cross-application querying and process orchestration.
该框架从每个遗留应用中提取数字智能体代理，以实现自然语言交互和自主操作；通过中央编排器协调多个智能体进行任务分解和动态调度，并提供统一的对话接口，用于跨应用查询和流程编排。
The main contributions of this paper are the proposition of the “Application-as-Agent” integration paradigm and the “Conversation-as-Integration” interaction philosophy, together with an exploration of the generalization potential of this methodology in scenarios encompassing heterogeneous system coordination, and large-scale data applications.
本文的主要贡献在于提出了“应用即智能体”（Application-as-Agent）的集成范式和“对话即集成”（Conversation-as-Integration）的交互理念，并探讨了该方法在涵盖异构系统协调和大规模数据应用场景中的泛化潜力。